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Data Engineer Internship Amazon Jobs in Indiana (NOW HIRING)

Lead Data Engineer

Warsaw, IN · On-site

$96K - $116K/yr

Amazon Redshift Key Responsibilities Data Architecture & Solution Design * Design end-to-end data engineering architectures for enterprise-scale solutions. * Develop scalable architectures for:

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Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

This can include internship, Co-op, apprentices, military service, or similar programs. * BS in Computer Engineering, Computer Science, Data Engineering, Data Scientist, or a technical degree, or ...

Data Engineer

Woodburn, IN · On-site

$102K - $123K/yr

This can include internship, Co-op, apprentices, military service, or similar programs. * BS in Computer Engineering, Computer Science, Data Engineering, Data Scientist, or a technical degree, or ...

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... Walmart, Amazon) • Experience with third-party syndicated data sources (e.g., Stackline ... engineering or building semantic/curated data layers Why Join Us? At Delta Faucet Company, our ...

... as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB, GCP Cloud ... DevOps pipelines - Implementing data security practices using AWS, Azure, GCP, Snowflake or ...

Sr Databricks Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

Bachelor's degree in Computer Science, Engineering, or a related field 5+ years of hands-on experience in data engineering with a focus on Databricks on Amazon Web Services (AWS), Microsoft Azure, or ...

Lead Data Engineer

Indianapolis, IN · On-site

$98K - $129K/yr

Deloitte is seeking a Lead Data Engineer- Databricks to support the design, build, and delivery of ... Master's degree Experience with Delta Lake, Unity Catalog, or MLflow Experience with Amazon Web ...

... Amazon Web Services (AWS) and Azure Data Factory to enhance data engineering capabilities - Applying data architecture development and database management skills to optimize data solutions ...

Data Platform Engineer (Data 360) We are looking for a Data Platform Engineer to help us support ... Experience designing data architectures on cloud platforms like Amazon Web Services, Microsoft ...

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Data Engineer Internship Amazon information

See Indiana salary details

$12

$24

$36

How much do data engineer internship amazon jobs pay per hour?

As of Aug 3, 2026, the average hourly pay for data engineer internship amazon in Indiana is $24.19, according to ZipRecruiter salary data. Most workers in this role earn between $19.66 and $27.45 per hour, depending on experience, location, and employer.

What does a data engineer intern do at Amazon?

A Data Engineer Intern at Amazon works on designing, building, and maintaining scalable data pipelines and systems to support business analytics and decision-making. Interns typically collaborate with experienced data engineers and other team members to process large datasets, ensure data quality, and optimize performance. They may also help automate data collection, transformation, and storage processes, gaining hands-on experience with Amazon's cloud technologies and big data tools. The internship offers an opportunity to develop technical skills in databases, programming, and data modeling in a real-world, fast-paced environment.

What types of projects and technologies do data engineer interns at Amazon typically work with?

As a Data Engineer Intern at Amazon, you can expect to work on projects involving large-scale data pipelines, data warehousing, and analytics solutions. Interns often gain hands-on experience with Amazon Web Services (AWS) tools such as Redshift, S3, and Glue, as well as programming languages like Python and SQL. You'll collaborate closely with software engineers, data scientists, and business analysts to design and optimize data systems that support Amazon's business operations. This role provides a strong foundation in both the technical and collaborative aspects of data engineering, offering ample learning opportunities in a fast-paced, innovative environment.

What is the difference between Data Engineer Internship Amazon vs Data Analyst Internship Amazon?

AspectData Engineer Internship AmazonData Analyst Internship Amazon
Required SkillsSQL, Python, ETL, data modelingSQL, Excel, data visualization tools
Work EnvironmentData pipelines, backend systems, cloud platformsData reporting, dashboards, business insights
Industry UsageTech, e-commerce, cloud servicesBusiness, marketing, finance

Both internships are common in Amazon's data teams but focus on different aspects. Data Engineer Internships involve building and maintaining data infrastructure, while Data Analyst Internships focus on analyzing data to generate insights. Candidates should choose based on their technical skills and career interests.

What are the key skills and qualifications needed to thrive as a data engineer intern at Amazon?

To thrive as a Data Engineer Intern at Amazon, you need a solid understanding of data structures, algorithms, and proficiency in programming languages such as Python, Java, or Scala, often supported by progress towards a degree in computer science or a related field. Familiarity with SQL, cloud platforms (especially AWS), and big data tools like Hadoop or Spark is typically required. Strong problem-solving skills, eagerness to learn, and effective communication help interns collaborate and adapt in a fast-paced environment. These skills and qualities are crucial to efficiently manage data pipelines, contribute to impactful projects, and succeed within Amazon’s data-driven culture.
What cities in Indiana are hiring for Data Engineer Internship Amazon jobs? Cities in Indiana with the most Data Engineer Internship Amazon job openings:

Lead Data Engineer

ClinDCast, LLC

Warsaw, IN • On-site

$96K - $116K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

< class="PDq2pG_selectionAnchorContainer" data-start="138" data-end="158">Job Summary

We are seeking an experienced Data Engineering Architect / Lead Data Engineer to design, build, and optimize scalable data platforms and pipelines. The ideal candidate will have extensive experience in ETL/ELT development, cloud-based data engineering, real-time and batch data processing, and modern data warehouse architectures. This role requires strong expertise in designing end-to-end data solutions that are scalable, secure, and aligned with enterprise standards.

Required Skills & Qualifications
  • Advanced expertise in designing and developing ETL/ELT pipelines.
  • Strong experience with batch data processing and near real-time/streaming data pipelines.
  • Hands-on experience working with structured and semi-structured data.
  • Strong knowledge of:
    • Incremental data loading
    • Change Data Capture (CDC)
    • Pipeline orchestration and dependency management
  • Strong programming skills in Python (preferred), Scala, or Java.
  • Experience optimizing large-scale data processing workloads for performance and cost.
  • Solid understanding of data modeling concepts:
    • Star Schema
    • Snowflake Schema
    • Normalized and denormalized data models
  • Hands-on experience with at least one major cloud platform:
    • Microsoft Azure
    • Amazon Web Services (AWS)
    • Google Cloud Platform (Google Cloud Platform)
  • Strong experience with modern data warehouses such as:
    • Snowflake
    • Azure Synapse
    • Google BigQuery
    • Amazon Redshift
Key Responsibilities< data-start="1661" data-end="1705">Data Architecture & Solution Design
  • Design end-to-end data engineering architectures for enterprise-scale solutions.
  • Develop scalable architectures for:
    • Data Lakes and Lakehouse platforms
    • Enterprise Data Warehouses
    • Streaming and real-time data processing systems
  • Ensure solutions align with enterprise architecture, security, governance, and compliance standards.
  • Review and approve technical designs and implementation strategies.
< data-start="2123" data-end="2170">Data Pipeline Development & Management
  • Lead the design and development of scalable ETL/ELT pipelines.
  • Build and manage data ingestion pipelines for both batch and real-time data.
  • Process structured and semi-structured data efficiently.
  • Optimize data pipelines for performance, reliability, scalability, and cost.
  • Manage schema evolution, metadata, and pipeline dependencies.
< data-start="2518" data-end="2565">Data Quality, Reliability & Operations
  • Establish and enforce data quality standards and validation frameworks.
  • Implement monitoring, alerting, logging, and observability for data pipelines.
  • Perform root cause analysis and resolve data-related production issues.
  • Drive operational excellence by improving system stability and reliability.
< data-start="2874" data-end="2899">DevOps / DataOps
  • Build and maintain CI/CD pipelines for data engineering workloads.
  • Automate testing, deployment, and rollback processes.
  • Improve platform reliability and deployment efficiency through automation and DevOps best practices.
Preferred Qualifications
  • Experience with modern DataOps and CI/CD practices.
  • Knowledge of data governance, security, and compliance frameworks.
  • Experience designing enterprise-scale cloud-native data platforms.
  • Strong analytical, troubleshooting, and communication skills.

ClinDCast logo

About ClinDCast

Sourced by ZipRecruiter

ClinDCast is at the forefront of shaping the future of healthcare by partnering with globally recognized healthcare organizations and offering them innovative solutions and expert guidance. Our suite of services is designed to cater to a broad range of needs of healthcare organizations, including healthcare IT innovation, electronic health record (EHR) implementation & optimizations, data conversion, regulatory and quality reporting, enterprise data analytics, FHIR interoperability strategy, payer-to-payer data exchange, and application programming interface (API) strategy. With 15+ Years Of Healthcare IT Industry Experience, ClinDCast Is A Trusted Partner For Payers, Providers, And Lifesciences Organizations, Enabling Them To Deliver Exceptional Product And Solutions For Their Customers.

Industry

Health care and social assistance

Company size

11 - 50 Employees

Headquarters location

Wesley Chapel, FL, US

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